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Sanmeet Gurudatta

Member since 2022

Bronze League

1240 points
生成式 AI 簡介 Earned May 21, 2023 EDT
在 Looker 建構 LookML 物件 Earned Feb 18, 2023 EST
Build Streaming Data Pipelines on Google Cloud Earned Dec 28, 2022 EST
Natural Language Processing on Google Cloud Earned Nov 29, 2022 EST
瞭解 Looker 中的 LookML Earned Nov 4, 2022 EDT
為 Looker 資訊主頁和報表準備資料 Earned Oct 22, 2022 EDT
Developing Data Models with LookML Earned Oct 15, 2022 EDT
Analyzing and Visualizing Data in Looker Earned Oct 11, 2022 EDT

這個入門微學習課程主要說明生成式 AI 的定義和使用方式,以及此 AI 與傳統機器學習方法的差異。本課程也會介紹各項 Google 工具,協助您開發自己的生成式 AI 應用程式。

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完成「在 Looker 建構 LookML 物件」技能徽章入門課程, 即可證明您具備下列技能: 建立新的維度和測量指標、檢視畫面和衍生資料表;根據需求設定測量指標篩選器和類型; 更新維度和測量指標; 建構及調整「探索」;將檢視表彙整至現有「探索」;以及配合業務需求決定要建立哪些 LookML 物件。

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In this course you will get hands-on in order to work through real-world challenges faced when building streaming data pipelines. The primary focus is on managing continuous, unbounded data with Google Cloud products.

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This course introduces the products and solutions to solve NLP problems on Google Cloud. Additionally, it explores the processes, techniques, and tools to develop an NLP project with neural networks by using Vertex AI and TensorFlow.

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在本課程中,您將實際操作 Looker 的 LookML。您將學習如何編寫 LookML 程式碼,建立新的維度和測量指標、建立衍生資料表並彙整至探索、篩選探索,以及在 LookML 中定義快取政策。

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完成「為 Looker 資訊主頁和報表準備資料」技能徽章入門課程, 即可證明您具備下列技能:可篩選、排序和 pivot 資料、合併不同的 Looker 探索結果, 還能使用函式和運算子建構 Looker 資訊主頁和報表,取得資料分析結果和圖表。

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This course empowers you to develop scalable, performant LookML (Looker Modeling Language) models that provide your business users with the standardized, ready-to-use data that they need to answer their questions. Upon completing this course, you will be able to start building and maintaining LookML models to curate and manage data in your organization’s Looker instance.

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In this course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. Upon completion of this course, you will be able to leverage Looker's modern analytics platform to find and explore relevant content in your organization’s Looker instance, ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision making.

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